Data Modeler

Core Skill Requirements Teradata Data Modeling (Expert Level) • 10+ years of experience in Teradata Data Warehousing and Data Modeling • Strong expertise in Logical & Physical Data Modeling • Experience in enterprise-scale data warehouse implementations • Expertise in dimensional and normalized modeling techniques • Strong understanding of data governance, metadata, and data quality • Ability to translate business requirements into scalable data models CLDM (Communications Logical Data Model) – Expert Level • Deep expertise in CLDM implementation within banking environments • Strong knowledge of banking domains including Customer, Billing, Product, Network, Usage, and CRM • Experience customizing CLDM and mapping banking source systems into CLDM structures • Strong understanding of banking enterprise data integration standards FSDM (Financial Services Data Model) – Deep Knowledge • Strong hands-on experience with FSDM implementation • Deep understanding of banking and financial services domains including Accounts, Loans, Payments, Risk, Compliance, and Regulatory Reporting • Experience designing enterprise financial data models aligned with FSDM standards • Strong knowledge of financial data governance, integration, and reporting requirements Logical Data Modeling • Strong expertise in conceptual, logical, and physical data modeling • Experience in ER modeling, normalization, and enterprise information architecture • Hands-on experience with modeling tools such as ERwin • Ability to define data standards, naming conventions, and governance practices Experience Requirements Banking Domain • Strong banking industry experience preferred • Knowledge of banking KPIs, subscriber lifecycle, and usage analytics • Experience with banking operational and analytical systems Financial Services Domain • Strong banking and financial services experience preferred • Understanding of enterprise banking systems and regulatory requirements • Experience supporting compliance, analytics, and financial reporting initiatives Data Governance & Quality • Experience in data governance and data quality frameworks • Strong understanding of data lineage, metadata management, and compliance standards Show more Show less

Core Skill Requirements: Teradata Data Modeling (Expert Level) with 10+ years of experience in Teradata Data Warehousing and Data Modeling; Strong expertise in Logical & Physical Data Modeling; Experience in enterprise-scale data warehouse implementations; Expertise in dimensional and normalized modeling techniques; Strong understanding of data governance, metadata, and data quality; Ability to translate business requirements into scalable data models. CLDM (Communications Logical Data Model) – Expert Level: Deep expertise in CLDM implementation within banking environments; Strong knowledge of banking domains including Customer, Billing, Product, Network, Usage, and CRM; Experience customizing CLDM and mapping banking source systems into CLDM structures; Strong understanding of banking enterprise data integration standards. FSDM (Financial Services Data Model) – Deep Knowledge: Strong hands-on experience with FSDM implementation; Deep understanding of banking and financial services domains including Accounts, Loans, Payments, Risk, Compliance, and Regulatory Reporting; Experience designing enterprise financial data models aligned with FSDM standards; Strong knowledge of financial data governance, integration, and reporting requirements. Logical Data Modeling: Strong expertise in conceptual, logical, and physical data modeling; Experience in ER modeling, normalization, and enterprise information architecture; Hands-on experience with modeling tools such as ERwin; Ability to define data standards, naming conventions, and governance practices. Experience Requirements: Banking Domain: Strong banking industry experience preferred; Knowledge of banking KPIs, subscriber lifecycle, and usage analytics; Experience with banking operational and analytical systems Financial Services Domain; Strong banking and financial services experience preferred; Understanding of enterprise banking systems and regulatory requirements; Experience supporting compliance, analytics, and financial reporting initiatives Data Governance & Quality: Experience in data governance and data quality frameworks; Strong understanding of data lineage, metadata management, and compliance standards.

Not explicitly separated into a responsibilities section in the posting.